Pyxis Oncology (PYXS) Research & Development (2020 - 2026)
Pyxis Oncology's Research & Development was $16.06 million in Q2 2026, down 6.3% from $17.13 million a year earlier.
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Analysis
Pyxis Oncology (PYXS) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pyxis Oncology's Research & Development was $72.71 million through Jun 30, 2026, up 10.3% year-over-year; for FY2025, it was $73.7 million, up 25.4% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 52.1% (FY2020 to FY2025).
- In earlier years, Research & Development was $58.75 million in FY2024 (+18.5%), $49.59 million in FY2023 (-42.4%), $86.13 million in FY2022 (+68.7%) and $51.05 million in FY2021 (+464.3%).
- The Q2 2026 figure marks the lowest quarterly Research & Development since Q4 2024.
- Compared with a year earlier, Research & Development was higher in six of the last seven quarters, with growth averaging 20.6%.
- The best year-over-year quarter for Research & Development over five years was Q2 2022 (growth of 435.7%); the worst was Q4 2023 (a decline of 61.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Pyxis Oncology | 112.79 Mn | -152.27 Mn | - | 16.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.06 Mn |
| Dec 31, 2025 | 21.71 Mn |
| Sep 30, 2025 | 17.81 Mn |
| Jun 30, 2025 | 17.13 Mn |
| Mar 31, 2025 | 17.04 Mn |
| Dec 31, 2024 | 14.02 Mn |
| Sep 30, 2024 | 17.74 Mn |
| Jun 30, 2024 | 13.95 Mn |
| Mar 31, 2024 | 13.03 Mn |
| Dec 31, 2023 | 11.61 Mn |
| Sep 30, 2023 | 14.69 Mn |
| Jun 30, 2023 | 11.39 Mn |
| Mar 31, 2023 | 11.90 Mn |
| Dec 31, 2022 | 29.85 Mn |
| Sep 30, 2022 | 19.03 Mn |
| Jun 30, 2022 | 17.17 Mn |
| Mar 31, 2022 | 20.07 Mn |
| Dec 31, 2021 | 7.23 Mn |
| Sep 30, 2021 | 7.85 Mn |
| Jun 30, 2021 | 3.21 Mn |
API Access
Pyxis Oncology Research & Development API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=research-and-development&ticker=PYXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "PYXS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=PYXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();